虚拟电厂参与电-碳联合市场运行的竞价策略研究

电力系统脱碳是全社会零碳发展的关键。近年来分布式小微主体发展迅速，成为未来我国能源结构的重要组成部分。首先，从虚拟电厂(virtual power plant, VPP)出发，在分析VPP参与我国现行碳交易市场方式的基础上，提出VPP参与电-碳联合市场的运行机制。其次，构建了联合市场运行机制下多主体互动博弈的两阶段双层竞价策略模型。第一阶段为VPP内部分布式小微主体预调度模型；第二阶段内层为VPP与多市场主体间非合作博弈竞价模型，以VPP参与日前现货市场和碳交易市场的总收益最大为目标，采用多场景描述竞争对手报价的不确定性；外层是以全社会福利最大化为目标函数的多主体互动决策出清模型。最后，采用Q-learning算法和路径跟踪内点法进行模型求解，算例验证了所提模型的可行性和有效性。

Bidding strategy for a virtual power plant to participate in the power-carbon joint market

Decarbonization of power systems is the key to zero carbon development for the whole of society. In recent years, distributed microenterprise agents have developed rapidly and will become an important part of China''s energy structure. First, starting from the virtual power plant (VPP), and based on the analysis of VPP''s participation in China''s current carbon trading market, the operation mechanism for VPP participation in the electricity carbon joint market is proposed. Second, a two-stage and two-tier bidding strategy model of a multi-agent interactive game under the joint market operation mechanism is constructed. The first stage is the VPP internal distributed micro agent pre scheduling model. In the second stage, the inner layer is a non-cooperative game bidding model between VPP and multi market players. With the goal of maximizing the total revenue of VPP participation in the day ahead spot market and carbon trading market, it uses multiple scenarios to describe the uncertainty of competitor quotations. The outer layer is a multi-agent interactive decision-making clearing model with the goal of maximizing the whole of social welfare. Finally, a Q-learning algorithm and path tracking interior point method are used to analyze the model. The feasibility and effectiveness of the proposed model are verified by an example.